Enabling On-Demand Database Computing with MIT SuperCloud Database Management System

被引：0

作者：

Prout, Andrew ^{[1
]}

Kepner, Jeremy ^{[1
]}

Michaleas, Peter ^{[1
]}

Arcand, William ^{[1
]}

Bestor, David ^{[1
]}

Bergeron, Bill ^{[1
]}

Byun, Chansup ^{[1
]}

Edwards, Lauren ^{[1
]}

Gadepally, Vijay ^{[1
]}

Hubbell, Matthew ^{[1
]}

Mullen, Julie ^{[1
]}

Rosa, Antonio ^{[1
]}

Yee, Charles ^{[1
]}

Reuther, Albert ^{[1
]}

机构：

[1] MIT, Lincoln Lab, 244 Wood St, Lexington, MA 02173 USA

来源：

2015 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC) | 2015年

关键词：

Accumulo; Hadoop; Big Data; SciDB; D4M; MIT SuperCloud; Grid Engine;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The MIT SuperCloud database management system allows for rapid creation and flexible execution of a variety of the latest scientific databases, including Apache Accumulo and SciDB. It is designed to permit these databases to run on a High Performance Computing Cluster (HPCC) platform as seamlessly as any other HPCC job. It ensures the seamless migration of the databases to the resources assigned by the HPCC scheduler and centralized storage of the database files when not running. It also permits snapshotting of databases to allow researchers to experiment and push the limits of the technology without concerns for data or productivity loss if the database becomes unstable.

引用

页数：6

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